Table 3.
Analysis of variance (ANOVA) for the regression
| Source | SS | DF | MS | F value | Prob > F |
|---|---|---|---|---|---|
| Model | 123.70 | 9 | 13.74 | 23.09 | 0.0002* |
| A | 68.68 | 1 | 68.68 | 115.36 | < 0.0001 |
| B | 4.08 | 1 | 4.08 | 6.85 | 0.0346 |
| C | 5.49 | 1 | 5.49 | 9.23 | 0.0189 |
| AB | 0.41 | 1 | 0.41 | 0.69 | 0.4342 |
| AC | 8.29 | 1 | 8.29 | 13.93 | 0.0073 |
| BC | 12.36 | 1 | 12.36 | 20.75 | 0.0026 |
| A2 | 3.59 | 1 | 3.59 | 6.03 | 0.0438 |
| B2 | 3.14 | 1 | 3.14 | 5.28 | 0.0551 |
| C2 | 17.94 | 1 | 17.94 | 30.14 | 0.0009 |
| Residual | 4.17 | 7 | 0.60 | ||
| Lack of fit | 2.63 | 3 | 0.88 | 2.28 | 0.2208** |
| Pure error | 1.54 | 4 | 0.38 | ||
| Cor total | 127.86 | 16 |
R2 = 0.967 and adjusted R2 = 0.926, * significant, ** not significant